SPRUCE 0.9 is out

Here's what's new:

💧 Water is now a first-class metric. SPRUCE can now estimate water consumption — factoring in regional hydric stress.

⚡ Operational emissions got more accurate, with power supply and transmission overheads now included.

📊 A Python-based report generator makes it easier to surface insights from your data.

🚀 and many more improvements under the hood

https://opensourcegreenops.cloud/

#GreenOps #CloudSustainability #OpenSource #WaterFootprint

Introduction - SPRUCE

Estimate the environmental impact of your cloud usage

Me he encontrado con este letrero sobre el #consumohidrico. Me enoja el tono polarizante en lugar de hacer #conciencia. Nos toca ser responsables con nuestras #waterfootprint y #CO2footprint no solamente tirar mierda. Ademas las imágenes #AI de #ghiblistyle atacab muchas otras éticas
🍔 Did you know? A single quarter-pounder burger costs about **3,405 bottles** of water! 💧💧 (That’s using half-liter bottles). Next time you bite into a burger, remember the hidden environmental cost! 🌍 #AI #WaterFootprint #Sustainability #FoodForThought
AI’s excessive water consumption threatens to drown out its environmental contributions | The-14

AI's water consumption threatens environmental efforts. Can its benefits outweigh its massive water footprint?

The-14 Pictures

#Job #PostDoc 30 mois dans le cadre du PEPR #OneWater "Eau Bien Commun met les recherches sur l’eau au centre de la transition durable des territoires".

Sujet : "Nouveaux concepts pour la définition d’une empreinte exhaustive de l’eau intégrant qualité, quantité, pressions et impacts" #EmpreinteEau #WaterFootPrint

https://sfecologie.org/offre/postdoc-30-mois-pepr-onewater-empreinte-eau/

PostDoc 30 mois / PEPR OneWater "Empreinte Eau" - sfecologie.org

### Nouveaux concepts pour la définition d’une empreinte exhaustive de l’eau intégrant qualité, quantité, pressions et impacts ###### Durée: 30 mois Début: Au plus tôt à partir du 29 avril 2024 Localisation: Rennes, France Employeur: Université de Rennes Contact: Jean-Raynald de Dreuzy, / [email protected] Date limite de candidature: 2 avril 2024 #######Contexte Le programme national […]

sfecologie.org
Data centers 'straining water resources' as AI swells .. #waterfootprint According to Data Centers Map, an open resource for researching data centers, no fewer than ten data centers are headquartered in Lagos, where water resources are stretched. .. language prediction model needs to "drink" a 500ml bottle of water to have a simple conversation of about 20- to 50 questions.
https://phys.org/news/2023-11-centers-straining-resources-ai.html
Data centers 'straining water resources' as AI swells

For the past 19 years, Felix Adebayo has called Balarabe Musa Crescent in Victoria Island, an affluent area within Nigeria's bustling Lagos city, his home.

Phys.org

RT Esther Sanyé Mengual
💦Do you know different approaches to quantify the #WaterFootprint of the EU food system?
📊A new @EU_ScienceHub study compares the #WaterFootprint method and the #LCA #WaterScarcity method to assess the pressures and impacts of EU food products
🔗 https://www.sciencedirect.com/science/article/pii/S0959652623019650?dgcid=coauthor https://t.co/x3AlsP2CGQ

🐦🔗: https://n.respublicae.eu/esanyemengual/status/1673730099256991750

.> ... large-scale AI models are indeed big water consumers. For example, training GPT‑3 in Microsoft’s state-of-the-art U.S. data centers can directly consume 700,000 liters of clean freshwater (enough to produce 370 BMW cars or 320 Tesla electric vehicles), and the water consumption would have been tripled if training were done in Microsoft’s data centers in Asia. These numbers do not include the off-site water footprint associated with electricity generation..> ChatGPT needs a 500-ml bottle of water for a short conversation of roughly 20 to 50 questions and answers, depending on when and where the model is deployed. Given ChatGPT’s huge user base, the total water footprint for inference can be enormous..> ... if we only consider carbon footprint reduction (say, by scheduling more AI training around noon), we’ll likely end up with higher water consumption, which is not truly sustainable for AI..> ... the vast majority of data centers still use potable water and cooling towers. For example, even tech giants such as Google heavily rely on cooling towers and consume billions of liters of potable water each year. Such huge water consumption has produced a stress on the local water infrastructure; Google’s data center used more than a quarter of all the water in The Dalles, Ore..> ... some AI conferences have requested that authors declare their AI models’ carbon footprint in their papers; we believe that with transparency and awareness, authors can also declare their AI models’ water footprint as part of the environmental impact. - The Markup: Water Footprint of AI Technology
- A conversation with
Shaolei Ren and Nabiha Syed

#TheMarkup #NabihaSyed #ShaoleiRen #AISalami #ChatGPT #CarbonFootprint #WaterFootprint #California #Oregon #DallesOregon #Virginia #DataCenterCapital #VirginiaLoudon #LoudonCounty

The Secret Water Footprint of AI Technology – The Markup

A conversation with Shaolei Ren

Easy Ways You Can Reduce Your Water Footprint, According To An Expert - House Digest

Reducing your water footprint can do a lot to positively impact the planet, and as expert Ric Miles explains to House Digest, it's simpler to do than you think.

House Digest